Results 81 to 90 of about 294,893 (309)
Positive Definite $\ell_1$ Penalized Estimation of Large Covariance Matrices [PDF]
The thresholding covariance estimator has nice asymptotic properties for estimating sparse large covariance matrices, but it often has negative eigenvalues when used in real data analysis.
Ma, Shiqian, Xue, Lingzhou, Zou, Hui
core
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley +1 more source
The theory and applications of complex matrix scalings
We generalize the theory of positive diagonal scalings of real positive definite matrices to complex diagonal scalings of complex positive definite matrices.
Pereira Rajesh, Boneng Joanna
doaj +1 more source
Positive Definite Hankel Matrices Using Cholesky Factorization [PDF]
AbstractReal positive definite Hankel matrices arise in many important applications. They have spectral condition numbers which exponentially increase with their orders. We give a structural algorithm for finding positive definite Hankel matrices using the Cholesky factorization, compute it for orders less than or equal to 30, and compare our result ...
Al-Homidan, S., Alshahrani, M.
openaire +2 more sources
Formation Control of Multi‐Agent System with Local Interaction and Artificial Potential Field
This article proposes a local interaction‐based formation control method for Multi‐Agent system, integrating consensus and leader‐follower strategies with a stress response mechanism—artificial potential field to reduce communication overhead and enable obstacle avoidance. Experimental results on triangular, square, and hexagonal formations confirm its
Luoyin Zhao +3 more
wiley +1 more source
Square matrices with the inverse diagonal property
We identify the class of real square invertible matrices A for which the signs of the diagonal entries of A−1 match those of A, and begin their study. We say such matrices have the inverse diagonal property (IDP).
Susana Furtado +3 more
doaj +1 more source
Predicting precision matrices for color matching problem
In this paper, as data, ellipsoids in a color coordinate called the Commission Internationale de l’Eclairage (CIE)-Lab system are given as data for 19 colors.
Takayoshi Nakamoto +2 more
doaj +1 more source
Geodesic distances on density matrices
We find an upper bound for geodesic distances associated to monotone Riemannian metrics on positive definite matrices and density matrices.Comment: 10 ...
Anna Jenčová +8 more
core +2 more sources
Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices [PDF]
Data encoded as symmetric positive definite (SPD) matrices frequently arise in many areas of computer vision and machine learning. While these matrices form an open subset of the Euclidean space of symmetric matrices, viewing them through the lens of non-
A. Cherian, S. Sra
semanticscholar +1 more source
This study investigates how endothelial monolayers balance cohesion and plasticity during mechanical stimulation. In HUVECs, shear stress induces a tension‐sensitive intermediate state in which junctional VE‐cadherin and actomyosin relaxation levels coordinate actin/integrin remodeling. This rapid, reversible state strengthens cell junctions, preserves
Jonas Franz +11 more
wiley +1 more source

